Methods and systems for online monitoring using a variable data sampling rate

1. A method for continuous monitoring of a physical environment using a variable data sampling rate, said method implemented by a computing device, said method comprising: receiving at least one data set of condition data from at least one sensor coupled to the physical environment; determining a schedule to sample the at least one data set of condition data, wherein the schedule is determined using distinct prime-factorization to schedule each data set sampling at a distinct point in time; sampling the at least one data set of condition data using at least one sampling rate and based on the determined schedule, wherein said computing device includes a sparse distributed memory configuration; applying at least one condition assessment rule to the at least one data set of condition data; determining whether said at least one data set of condition data indicates a change in state of the physical environment; updating said at least one sampling rate; and outputting at least one modified data set based on the updated sample rate, the outputting including providing the at least one modified data set via presentation interface of the computing device.

2. The method of claim 1 , wherein said at least one data set of condition data is sampled from a continuous monitoring system, the continuous monitoring system is at least one of: an external monitoring system; a plurality of external monitoring systems; and said computing device.

3. The method of claim 1 , wherein said condition data includes vibration data, thermal data, pressure data, electric data, or state data associated with the physical environment.

4. The method of claim 1 , wherein updating said at least one sampling rate comprises at least one of: increasing the at least one sampling rate; reducing the at least one sampling rate; and holding the at least one sampling rate substantially constant.

5. The method of claim 4 , wherein updating said at least one sampling rate further comprises: determining whether a change in state has been previously identified; and updating said at least one sampling rate only if the change in state has been previously identified outside a defined threshold interval.

6. The method of claim 1 , wherein determining whether said at least one data set of condition data indicates a change in state of the physical environment comprises: storing the change in state of the physical environment in at least one of a memory device, a storage device, and an external storage device; and transmitting the change in state to an external system.

7. The method of claim 6 , further comprising delaying at least one of: updating said at least one sampling rate; and transmitting the change in state to an external system, based upon thresholds including at least one of: user defined thresholds; machine learning thresholds; and externally received data.

8. A computer-implemented system for continuous monitoring of a physical environment using a variable data sampling rate comprising: an continuous monitoring system capable of monitoring the physical environment using a plurality of sensors; and a computing device configured to communicate with said continuous monitoring system including a processor, a memory device coupled to said processor and including a sparse distributed memory configuration, and a storage device coupled to said memory device and to said processor, said computing device configured to: receive at least one data set of condition data from at least one sensor of the plurality of sensors coupled to the physical environment; determine a schedule to sample the at least one data set of condition data, wherein the schedule is determined using distinct prime-factorization to schedule each data set sampling at a distinct point in time; sample at least one data set of condition data using at least one sampling rate from said continuous monitoring system and based on the determined schedule; apply at least one condition assessment rule to the at least one data set of condition data; determine whether the at least one data set of condition data indicates a change in state of the physical environment; update said at least one sampling rate; and output at least one modified data set based on the updated sample rate, the outputting including providing the at least one modified data set via presentation interface of the computing device.

9. The computer-implemented system of claim 8 , wherein said continuous monitoring system further comprises at least one of: an external monitoring system; a plurality of external monitoring systems; and said computing device.

10. The computer-implemented system of claim 8 , wherein said condition data includes vibration data, thermal data, pressure data, electric data, or state data associated with the physical environment.

11. The computer-implemented system of claim 8 , wherein the computing device is further configured to at least one of: increase said at least one sampling rate; reduce said at least one sampling rate; and hold said at least one sampling rate substantially constant.

12. The computer-implemented system of claim 11 , wherein the computing device is further configured to: determine whether a change in state has been previously identified; and update said at least one sampling rate only if the change in state has been previously identified outside a defined threshold interval.

13. The computer-implemented system of claim 8 , wherein the computing device is further configured to: store the change in state of the physical environment in at least one of a memory device, a storage device, and an external storage device; and transmit the change in state to an external system.

14. The computer-implemented system of claim 13 , wherein the computing device is further configured to delay at least one of: updating said at least one sampling rate; and transmitting the change in state to an external system based upon thresholds including at least one of: user defined thresholds; machine learning thresholds; and externally received data.

15. A computer for continuous monitoring of a physical environment using a variable data sampling rate comprising: a processor; a memory device coupled to said processor and including a sparse distributed memory configuration; and a storage device coupled to said memory device and to said processor, said computer configured to: receive at least one data set of condition data from at least one sensor of the plurality of sensors coupled to the physical environment; determine a schedule to sample the at least one data set of condition data, wherein the schedule is determined using distinct prime-factorization to schedule each data set sampling at a distinct point in time; sample at least one data set of condition data using at least one sampling rate from a continuous monitoring system and based on the determined schedule; apply at least one condition assessment rule to the at least one data set of condition data; determine whether the at least one data set of condition data indicates a change in state of the physical environment; update said at least one sampling rate; and output at least one modified data set based on the updated sample rate, the outputting including providing the at least one modified data set via presentation interface of the computing device.

16. The computer of claim 15 , wherein said condition data includes vibration data, thermal data, pressure data, electric data, or state data associated with the physical environment.

17. The computer of claim 15 , wherein said computer configured to update said at least one sampling rate is configured to at least one of: increase said at least one sampling rate; reduce said at least one sampling rate; and hold said at least one sampling rate substantially constant.

18. The computer of claim 17 , wherein said computer configured to update said at least one sampling rate is further configured to: determine whether a change in state has been previously identified; and update said at least one sampling rate only if the change in state has been previously identified outside a defined threshold interval.

19. The computer of claim 15 , wherein the computer configured to determine whether the at least one data set of condition data indicates a change in state of the physical environment is further configured to: store the change in state of the physical environment in at least one of a memory device, a storage device, and an external storage device; and transmit the change in state to an external system.

20. The computer of claim 19 , wherein the computer configured to determine whether the at least one data set of condition data indicates a change in state of the physical environment is further configured to delay at least one of: updating said at least one sampling rate; and delay transmitting the change in state to an external system based upon thresholds including at least one of: user defined thresholds; machine learning thresholds; and externally received data.